Analyzing COVID-19 outbreaks: A methodological approach with Gaussian pulse models

Abstract

This method introduces a methodological approach for comprehensively analyzing COVID-19 outbreaks using Gaussian pulse models to assess transmission rates. Our methodology is designed to provide an in-depth understanding of the intricate dynamics underlying the spread of COVID-19. By incorporating Gaussian pulse models into our approach, we capture temporal and spatial outbreaks' characteristics with high precision. This method provides a detailed overview of our methodological approach, underscoring its potential to revolutionize our comprehension of COVID-19 outbreak dynamics.•Our methodology involves the application of Gaussian pulse models to the transmission rate estimation.•Parameter estimation in epidemic modeling involves adjusting key factors like transmission rate, and effective reproduction number to best match observed data.•We use Microsoft Excel's Solver add-in with the GRG algorithm to find the best parameter values, improving the data fit.

Keywords: COVID-19 outbreaks; Gaussian Pulse Models for analyzing COVID-19 outbreaks; Gaussian pulse models; Transmission rates.